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Отзывы учащихся о курсе Introduction to Data Science in Python от партнера Мичиганский университет

4.5
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Оценки: 24,558
Рецензии: 5,516

О курсе

This course will introduce the learner to the basics of the python programming environment, including fundamental python programming techniques such as lambdas, reading and manipulating csv files, and the numpy library. The course will introduce data manipulation and cleaning techniques using the popular python pandas data science library and introduce the abstraction of the Series and DataFrame as the central data structures for data analysis, along with tutorials on how to use functions such as groupby, merge, and pivot tables effectively. By the end of this course, students will be able to take tabular data, clean it, manipulate it, and run basic inferential statistical analyses. This course should be taken before any of the other Applied Data Science with Python courses: Applied Plotting, Charting & Data Representation in Python, Applied Machine Learning in Python, Applied Text Mining in Python, Applied Social Network Analysis in Python....

Лучшие рецензии

PK
9 мая 2020 г.

The course had helped in understanding the concepts of NumPy and pandas. The assignments were so helpful to apply these concepts which provide an in-depth understanding of the Numpy as well as pandans

SI
15 мар. 2018 г.

overall the good introductory course of python for data science but i feel it should have covered the basics in more details .specially for the ones who do not have any prior programming background .

Фильтр по:

5026–5050 из 5,466 отзывов о курсе Introduction to Data Science in Python

автор: STEVEN V D

13 нояб. 2017 г.

Good and clear video's and assignments. Unfortunately the auto-grader is a bit a pain.

автор: Surya G

24 авг. 2020 г.

Great course but not for beginners and also i felt the lectures were short and rushed

автор: Subhajit B

18 мая 2020 г.

It was too fast paced and I had to a lot of homework myself after the video lectures.

автор: Saul S

27 дек. 2019 г.

Could have been far better thought out, and the content is not particularly engaging.

автор: Vignesh M

10 июля 2020 г.

The assesment part is too difficult compared to concepts explained in the lectrues.

автор: Gunjan C

18 июня 2017 г.

A very good course, but found it a bit monotonous. Assignments were good (and tough)

автор: Ting W

18 сент. 2019 г.

Contents of the class are limited, more details and examples will be more helpful.

автор: pranay b n

28 мар. 2019 г.

Nice course but just by referring to videos answering the assignments is difficult

автор: Rahul N

21 мар. 2020 г.

Good Course, but felt that the instructor goes too fast on some difficult topics.

автор: Zebbe R

25 июля 2021 г.

bon cours complet mais on est laissé trop en autonomie pour les devoirs à rendre

автор: Seyed S F

6 окт. 2020 г.

Thank you all. I think Coursera's platform is a little confusing for this course

автор: Joachim S

21 июня 2020 г.

Technical issues in the assignments makes the course harder than it needs to be.

автор: Peter D

2 апр. 2018 г.

The course assignments were very tough for me, much harder than I anticipated...

автор: keith h

29 апр. 2017 г.

a decent introduction into the world of python dataframes via the pandas library

автор: Oswaldo C

29 июня 2020 г.

You have to make a lot of research on pandas documentation to do the assigments

автор: Mr Q

27 июня 2020 г.

Typical school concept. Lessons level 1, quizzes level 3, assignments level 50.

автор: Siddhant A J

18 авг. 2019 г.

Bit faster than expected, should have disclaimer to learn pandas basics first.

автор: ti t h

27 окт. 2018 г.

Auto grader needs to give more feedback. Too many things to learn by yourself

автор: Anil K N

22 июня 2019 г.

There should have been more quizzing assignments rather than the coding ones

автор: ANANYA J

29 июня 2020 г.

in starting course is good but at the end it will become boring and lengthy

автор: Thiago J M M

21 апр. 2020 г.

Os exercícios estão em nível absurdamente complicados emm relação as aulas!

автор: Thomas G

25 сент. 2019 г.

It's really informative, but there is too little instruction in my opinion.

автор: Jens R

28 нояб. 2018 г.

In my point of view, the lectures and the assignments are not well matched.

автор: Jai L

13 апр. 2020 г.

Tutotial videos of jupyter are very fast and need much time to understand.

автор: Srikanth G

10 нояб. 2019 г.

It would be nice if we have more explanation for questions in Assignments.